Anti-blocking monitoring and early warning method for buried culvert discharge port

Abstract

The invention relates to the field of anti-blocking monitoring and early warning, in particular to an anti-blocking monitoring and early warning method for an underground culvert discharge port, which comprises the following steps: data acquisition: installing various types of sensors at various positions of the underground culvert discharge port to obtain blocking data of the underground culvert discharge port, and analyzing blocking flow according to a water level height value and a water flow speed value; the method comprises the following steps of: analyzing the blockage condition of a drainage port of an underground culvert, analyzing impurity identification and biological activity monitoring of each drainage port of the underground culvert according to a real-time image in image detection and identification, and processing the condition of each blockage level according to the set blockage accumulated point number level in early warning mechanism triggering. According to the method, comprehensive and accurate monitoring and intelligent and efficient early warning response are achieved, and optimization of drainage system operation and maintenance and assistance of urban environment management are facilitated.

Description

Technical Field

[0001] The invention relates to the field of anti-blocking monitoring and early warning, and in particular to an anti-blocking monitoring and early warning method for a culvert outlet. Background Art

[0002] With the continuous development and expansion of cities, culvert outlets are facing many severe challenges. The accelerated urbanization process and highly dense population have led to a significant increase in the amount of urban garbage. Traditional culvert outlet monitoring methods mainly rely on manual inspections, which are extremely inefficient and require a lot of manpower and time costs. Often when problems are discovered, the blockage is already serious and may even have caused adverse consequences such as waterlogging and sewage overflow. It is also difficult to accurately assess the degree and location of the blockage, making it impossible to take effective targeted measures in a timely manner. Existing monitoring technologies have improved the monitoring methods to a certain extent, but some monitoring methods only focus on the measurement of a single parameter and judge the pipeline condition only through water level monitoring or flow monitoring. In actual situations, a single parameter cannot fully reflect the true situation of blockage. A temporary rise in water level due to heavy rainfall may be misjudged as a blockage. These limitations make it difficult for existing monitoring technologies to meet the complex and changeable drainage needs of modern cities. There is an urgent need for a more efficient and intelligent culvert outlet anti-blockage monitoring and early warning method to solve the problem and ensure the stable operation of the urban drainage system. Summary of the invention

[0003] In order to solve the technical problems raised by the above-mentioned background technology, the present invention provides an anti-blocking monitoring and early warning method for a culvert outlet.

[0004] The purpose of the present invention can be achieved through the following technical solutions: The present invention is a method for monitoring and warning of blocking of culvert outlets, and the specific steps are as follows: Step 1: Data collection: Install various types of sensors at various locations of the culvert outlet to obtain the blockage data of the culvert outlet. The specific process is as follows: Various types of sensors are installed at the water inlet, bends and pipe diameter change points of the culvert outlet. The various types of sensors include integrated ultrasonic level meters, electromagnetic flow meters, pressure sensors and high-definition cameras. The ultrasonic level meter is used to monitor and measure the water level height data in real time to obtain the water level height value of the culvert outlet. The electromagnetic flow meter is used to monitor the water flow velocity data in real time to obtain the water flow velocity value of the culvert outlet in real time. The high-definition camera is supplemented by infrared night vision function to capture real-time images of the culvert outlet. The obtained water level height value, water flow velocity value, pressure fluctuation parameter value and real-time image of the culvert outlet are sent to the database for storage.

[0005] Step 2: Blockage flow analysis: According to the water level value and water flow velocity value, the blockage situation of the culvert outlet is analyzed. The specific process is as follows: R001: Intelligently obtain meteorological data within 48 hours through the cloud server. The meteorological data includes real-time rainfall intensity, rainfall duration and rainfall peak duration, which are marked as TDs, YRa and YWd respectively. After normalization, calculate according to the formula A first characteristic evaluation value TYk is obtained, wherein T1, T2 and T3 are weight coefficients corresponding to the real-time rainfall intensity, the rainfall holding period and the rainfall peak period; R002: Extract the preset rainfall intensity threshold, preset rainfall holding period and preset rainfall peak period in the database, subtract the preset rainfall intensity threshold from the real-time rainfall intensity to obtain the rainfall intensity difference, subtract the preset rainfall holding period from the rainfall holding period to obtain the rainfall period difference, subtract the preset rainfall peak period from the rainfall peak period to obtain the rainfall peak difference, mark the rainfall intensity difference, rainfall period difference and rainfall peak difference as TDj, YRe and YWc respectively, normalize them and substitute them into the formula A second characteristic compensation value SUt is obtained, wherein T4, T5 and T6 are weight coefficients corresponding to the rainfall intensity difference, the rainfall period difference and the rainfall peak difference; R003: According to the real-time acquisition of the water level height value and water flow velocity value of each culvert outlet, the standard water level height threshold and standard water flow velocity threshold of the data center are extracted, the water level height value and the standard water level height threshold are subtracted to obtain the real-time water level height difference, and the water flow velocity value and the standard water flow velocity threshold are subtracted to obtain the real-time water flow velocity difference. The real-time water level height difference and the real-time water flow velocity difference are marked as DGb and FHs respectively, and they are normalized and substituted into the formula A second characteristic evaluation value is obtained, wherein T7 and T8 are weight coefficients corresponding to the real-time water level height difference and the real-time water flow rate difference; R004: Calculate based on the obtained first characteristic evaluation value, second characteristic compensation value and second characteristic evaluation value, using the formula The first blocking coefficient TEQ is obtained, wherein G1, G2 and G3 are preset proportional coefficients, g represents the serial number of the culvert outlet, and m1 represents the number of the culvert outlet.

[0006] Step 3: Image detection and recognition: Analyze the debris identification and biological activity monitoring of each culvert outlet based on the real-time image. The specific process is as follows: W001: Based on the real-time images of each culvert outlet obtained, the types and quantities of debris in the real-time images of each culvert outlet are identified based on image recognition technology, the quantity of each type of debris at each culvert outlet is obtained, and the quantity of each type of debris is added to obtain the total quantity of accumulated debris. Each type of debris includes plastic waste, food packaging bags, construction waste and waste paper. The corresponding accumulation area of ​​each type of debris at each culvert outlet is identified, the accumulation area of ​​each type of debris is obtained, and the accumulation area of ​​each type of debris is added to obtain the total accumulation area of ​​debris; the total number of accumulated debris and the total accumulation area of ​​debris are marked as GTQ and GFK respectively; W002: Get the area of ​​each culvert outlet. If the culvert outlet is a circular outlet, connect the bottom center and the top center of the circular outlet to get the height PR of the circular outlet. Calculate it using the formula Get the area PT of the circular outlet; if the culvert outlet is irregular, divide the culvert outlet into multiple triangles, get the number of triangles, get the area of ​​a single triangle, identify the base length PY and height PU of the triangle, and use the formula Get the area PL of the triangle, and based on the number and area of ​​the triangles, get the total area of ​​the culvert outlet; if the current outlet is a circular outlet, get the debris accumulation ratio based on the total debris accumulation area and the circular outlet area, marked as GSR; W003: Substitute the total number of accumulated debris, the total area of ​​accumulated debris and the proportion of accumulated debris into the formula The second blocking coefficient GHE of the culvert outlet is obtained, wherein M1, M2 and M3 are weight coefficients corresponding to the total number of accumulated debris, the total area of ​​accumulated debris and the proportion of accumulated debris, i represents the shape number of the culvert outlet, and m represents the total number of culvert outlet shapes; W004: Monitor various types of organisms at the culvert outlet, including rats and cockroaches, identify the number and volume of each type of organism, obtain the number and volume of each type of organism, and obtain the total volume of organisms based on the number and volume of each type of organisms. If the current outlet is a circular outlet, obtain the proportion of organisms based on the total volume of organisms and the area of ​​the circular outlet, and mark the total volume of organisms and the proportion of organisms as JRT and JYQ respectively; W005: Substitute the total volume and proportion of organisms into the formula for calculation The third blockage coefficient JFE of the culvert outlet is obtained, where M4 and M5 are weight coefficients corresponding to the total biological volume and the biological proportion.

[0007] Step 4: Determine the blockage points: Determine the current blockage points value based on the blockage coefficient of each culvert outlet. The specific process is as follows: The first congestion coefficient, the second congestion coefficient and the third congestion coefficient are received, the first congestion coefficient threshold value, the second congestion coefficient threshold value and the third congestion coefficient threshold value preset by the data center are extracted, the first congestion coefficient threshold value is subtracted from the first congestion coefficient to obtain a first congestion difference, the second congestion coefficient is subtracted from the preset second congestion coefficient threshold value to obtain a second congestion difference, and then the third congestion coefficient is subtracted from the preset third congestion coefficient threshold value to obtain a third congestion difference, and the first congestion difference, the second congestion difference and the third congestion difference are added to obtain a congestion cumulative point value.

[0008] Step 5: Triggering the early warning mechanism: According to the set congestion cumulative points level, different congestion levels are processed. The specific process is as follows: Different levels of congestion accumulation points are divided into mild congestion level, moderate congestion level and severe congestion level. The mild congestion level has a congestion accumulation point value range of 0-20, the moderate congestion level has a congestion accumulation point value range of 20-40, and the severe congestion level has a congestion accumulation point value range of more than 40; An electric regulating valve is set up, and the accumulated blockage points are obtained according to the blockage integral judgment. The real-time accumulated blockage points are matched with each blockage level. If the corresponding culvert outlet matches the light blockage level, the corresponding culvert outlet is marked as a yellow warning outlet, and the location information of the corresponding yellow warning outlet is obtained. A slight signal is generated and sent to the screen terminal of the municipal drainage center. The signal includes the yellow warning outlet and the location information. After receiving the slight signal and obtaining the corresponding electric regulating valve according to the location information, an operation signal is generated and sent to the electric regulating valve. The electric regulating valve is turned on and the drainage flow rate is increased by 30%. It is set to review the changes in the accumulated blockage points of the outlet every two hours. If the corresponding culvert outlet matches a moderate blockage level, the corresponding culvert outlet will be marked as an orange warning outlet, and a moderate signal will be generated and sent to the screen terminal of the municipal drainage center. After receiving the moderate signal, the corresponding electric valve will be adjusted to increase the drainage flow rate by 60%, and the municipal rescue team within the radius of the corresponding culvert outlet will be obtained, and a signal will be sent to the municipal rescue team; if the corresponding culvert outlet matches a severe blockage level, the corresponding culvert outlet will be marked as a red warning outlet, and a severe signal will be generated and sent to the screen terminal of the municipal drainage center. After receiving the severe signal, the corresponding electric valve will be adjusted to increase the drainage flow rate by 100%, and all municipal rescue teams in the city will be adjusted to carry out rescue.

[0009] Compared with the prior art, the present invention has the following beneficial effects: based on the anti-blocking monitoring of the culvert outlet, it also provides valuable information for urban environmental management by monitoring the types of debris and biological activities. The monitoring of biological activities can reflect the changes in the ecological environment around the outlet and provide a reference for ecological protection and biodiversity research. The various data reports and analysis results generated by the system can provide comprehensive decision-making support for urban managers; By using the rainfall subset classification unit to obtain meteorological data and combining it with the real-time water level, flow and other data to calculate the first and second characteristic evaluation values ​​and the blockage coefficient, it is possible to carry out intelligent graded warnings based on the preset cumulative blockage point levels. The graded warning and linkage disposal mechanism is highly consistent with the complex drainage scenarios in the city, ensuring that effective response measures can be taken as soon as blockage problems occur, minimizing the impact of risks such as urban waterlogging and sewage overflow on urban operations, and effectively ensuring urban drainage safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present invention.

[0011] Figure 1 It is a flowchart of the steps of the present invention. DETAILED DESCRIPTION

[0012] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0013] Please refer to Figure 1 As shown, the present invention is a method for monitoring and warning of anti-blocking of culvert outlets, which is based on a data acquisition module, a blockage flow analysis module, an image detection and recognition module, a blockage integral determination module and a warning mechanism trigger module, and its specific steps are as follows: Step 1: The data acquisition module is installed at various locations of the culvert outlet according to various types of sensors to obtain the blockage data of the culvert outlet. The specific process is as follows: The data acquisition module is equipped with a culvert data acquisition unit and a transmission unit. Various types of sensors are installed at the water inlet, bends and pipe diameter change points of the culvert outlet. The various types of sensors include integrated ultrasonic level meters, electromagnetic flow meters, pressure sensors and high-definition cameras. The ultrasonic level meter is used to monitor and measure the water level height data in real time to obtain the water level height value of the culvert outlet. The electromagnetic flow meter is used to monitor the water flow velocity data in real time to obtain the water flow velocity value of the culvert outlet in real time. The high-definition camera is supplemented by infrared night vision function to capture real-time images of the culvert outlet. The transmission unit sends the obtained water level height value, water flow velocity value, pressure fluctuation parameter value and real-time image of the culvert outlet to the database for storage. The output end of the data acquisition is connected to the image detection and recognition module and the input end of the water flow analysis unit. The water level height value and water flow velocity value are sent to the water flow analysis unit, and the real-time image of the culvert outlet is sent to the image detection and recognition module. Set Figure 1 The end with an arrow indicates the input end, and the end without an arrow indicates the output end.

[0014] Step 2: The blockage flow analysis module analyzes the blockage of the culvert outlet according to the water level value and the water flow velocity value. The specific process is as follows: R001: The input end of the congestion flow analysis module is connected to the output end of the database and the cloud server. The congestion flow analysis module is provided with a rainfall subset classification unit and a first congestion coefficient acquisition unit. The rainfall subset classification unit intelligently obtains meteorological data within 48 hours through the cloud server. The meteorological data includes real-time rainfall intensity, rainfall holding period and rainfall peak period, which are marked as TDs, YRa and YWd respectively, and are normalized and calculated according to the formula A first characteristic evaluation value TYk is obtained, wherein T1, T2 and T3 are weight coefficients corresponding to the real-time rainfall intensity, the rainfall holding period and the rainfall peak period; R002: Extract the preset rainfall intensity threshold, preset rainfall holding period and preset rainfall peak period in the database, subtract the preset rainfall intensity threshold from the real-time rainfall intensity to obtain the rainfall intensity difference, subtract the preset rainfall holding period from the rainfall holding period to obtain the rainfall period difference, subtract the preset rainfall peak period from the rainfall peak period to obtain the rainfall peak difference, mark the rainfall intensity difference, rainfall period difference and rainfall peak difference as TDj, YRe and YWc respectively, normalize them and substitute them into the formula A second characteristic compensation value SUt is obtained, wherein T4, T5 and T6 are weight coefficients corresponding to the rainfall intensity difference, the rainfall period difference and the rainfall peak difference; R003: According to the real-time acquisition of the water level height value and water flow velocity value of each culvert outlet, the standard water level height threshold and standard water flow velocity threshold of the data center are extracted, the water level height value and the standard water level height threshold are subtracted to obtain the real-time water level height difference, and the water flow velocity value and the standard water flow velocity threshold are subtracted to obtain the real-time water flow velocity difference. The real-time water level height difference and the real-time water flow velocity difference are marked as DGb and FHs respectively, and they are normalized and substituted into the formula A second characteristic evaluation value is obtained, wherein T7 and T8 are weight coefficients corresponding to the real-time water level height difference and the real-time water flow rate difference; R004: The first blocking coefficient acquisition unit calculates the first characteristic evaluation value, the second characteristic compensation value and the second characteristic evaluation value using the formula The first congestion coefficient TEQ is obtained, wherein G1, G2 and G3 are preset proportional coefficients, g represents the number of the culvert outlet, m1 represents the number of the culvert outlet, the output end of the congestion flow analysis is connected to the input end of the congestion integral determination module, and the first congestion coefficient is sent to the congestion integral determination module.

[0015] Step 3: The image detection and recognition module analyzes the debris recognition and biological activity monitoring of each culvert outlet based on the real-time image. The specific process is as follows: W001: The image detection and recognition module is provided with a recognition unit and a biological monitoring unit. The recognition unit recognizes the type and quantity of debris in the real-time images of each culvert outlet based on the acquired real-time images of each culvert outlet based on the image recognition technology, obtains the quantity of each type of debris at each culvert outlet, adds up the quantity of each type of debris to obtain the total quantity of accumulated debris, each type of debris includes plastic garbage, food packaging bags, construction waste and waste paper, identifies the corresponding accumulation area of ​​each type of debris at each culvert outlet, obtains the accumulation area of ​​each type of debris, and adds up the accumulation area of ​​each type of debris to obtain the total accumulation area of ​​debris; the total quantity of accumulated debris and the total accumulation area of ​​debris are marked as GTQ and GFK respectively; W002: Get the area of ​​each culvert outlet. If the culvert outlet is a circular outlet, connect the bottom center and the top center of the circular outlet to get the height PR of the circular outlet. Calculate it using the formula Get the area PT of the circular outlet; if the culvert outlet is irregular, divide the culvert outlet into multiple triangles, get the number of triangles, get the area of ​​a single triangle, identify the base length PY and height PU of the triangle, and use the formula Get the area PL of the triangle, and based on the number and area of ​​the triangles, get the total area of ​​the culvert outlet; if the current outlet is a circular outlet, get the debris accumulation ratio based on the total debris accumulation area and the circular outlet area, marked as GSR; W003: Substitute the total number of accumulated debris, the total area of ​​accumulated debris and the proportion of accumulated debris into the formula The second blocking coefficient GHE of the culvert outlet is obtained, wherein M1, M2 and M3 are weight coefficients corresponding to the total number of accumulated debris, the total area of ​​accumulated debris and the proportion of accumulated debris, i represents the shape number of the culvert outlet, and m represents the total number of culvert outlet shapes; W004: The biological monitoring unit monitors various types of organisms at the culvert outlet, including rats and cockroaches. The number and volume of each type of organism are identified to obtain the number and volume of each type of organism. The total volume of organisms is obtained based on the number and volume of each type of organisms. If the outlet is a circular outlet, the proportion of organisms is obtained based on the total volume of organisms and the area of ​​the circular outlet. The total volume of organisms and the proportion of organisms are marked as JRT and JYQ respectively. W005: Substitute the total volume and proportion of organisms into the formula for calculation The third blockage coefficient JFE of the culvert outlet is obtained, wherein M4 and M5 are weight coefficients corresponding to the total biological volume and the biological proportion; the output end of the image detection and recognition module is connected to the input end of the blockage integral determination module, and the second blockage coefficient and the third blockage coefficient are sent to the blockage integral determination module.

[0016] Step 4: The congestion integral determination module determines the current congestion cumulative point value according to the congestion coefficient of each culvert outlet. The specific process is as follows: The congestion score determination module receives the first congestion coefficient, the second congestion coefficient and the third congestion coefficient, extracts the first congestion coefficient threshold value, the second congestion coefficient threshold value and the third congestion coefficient threshold value preset by the data center, subtracts the first congestion coefficient threshold value from the first congestion coefficient to obtain a first congestion difference, subtracts the second congestion coefficient from the preset second congestion coefficient threshold value to obtain a second congestion difference, then subtracts the third congestion coefficient from the preset third congestion coefficient threshold value to obtain a third congestion difference, adds the first congestion difference value, the second congestion difference value and the third congestion difference value to obtain a congestion cumulative point value, and the output end of the congestion score determination module is connected to the input end of the early warning mechanism trigger module, and the congestion cumulative point value is sent to the early warning mechanism trigger module.

[0017] Step 5: The early warning mechanism trigger module processes different congestion levels according to the set congestion cumulative points level. The specific process is as follows: The early warning mechanism trigger module is provided with a level setting unit and an operation processing unit. The level setting unit divides different congestion accumulation points into light congestion level, medium congestion level and severe congestion level. The light congestion level is specifically a congestion accumulation point value range of 0-20, the medium congestion level is specifically a congestion accumulation point value range of 20-40, and the severe congestion level is specifically a congestion accumulation point value range of more than 40; An electric regulating valve is set up, and the port of the operation processing unit is connected to the screen terminal of the municipal drainage center. The accumulated blockage points are obtained according to the blockage integral judgment, and the real-time accumulated blockage points are matched with each blockage level. If the corresponding culvert outlet matches the light blockage level, the corresponding culvert outlet is marked as a yellow warning outlet, and the location information of the corresponding yellow warning outlet is obtained, and a slight signal is generated and sent to the screen terminal of the municipal drainage center. The signal includes the yellow warning outlet and the location information. After receiving the slight signal and obtaining the corresponding electric regulating valve according to the location information, an operation signal is generated and sent to the electric regulating valve. The electric regulating valve is turned on and the drainage flow rate is increased by 30%. It is set to review the changes in the accumulated blockage points of the outlet every two hours; If the corresponding culvert outlet matches a moderate blockage level, the corresponding culvert outlet will be marked as an orange warning outlet, and a moderate signal will be generated and sent to the screen terminal of the municipal drainage center. After receiving the moderate signal, the corresponding electric valve will be adjusted to increase the drainage flow rate by 60%, and the municipal rescue team within the radius of the corresponding culvert outlet will be obtained, and a signal will be sent to the municipal rescue team; if the corresponding culvert outlet matches a severe blockage level, the corresponding culvert outlet will be marked as a red warning outlet, and a severe signal will be generated and sent to the screen terminal of the municipal drainage center. After receiving the severe signal, the corresponding electric valve will be adjusted to increase the drainage flow rate by 100%, and all municipal rescue teams in the city will be adjusted to carry out rescue.

[0018] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. A method for monitoring and early warning of blockage prevention of culvert outlets, characterized in that: The specific steps are as follows: A1: Data collection: Install various types of sensors at various locations of the culvert outlet to obtain the blockage data of the culvert outlet; A2: Blockage flow analysis: Analyze the blockage of the culvert outlet based on the water level and water flow velocity values; A3: Image detection and recognition: Analyze the debris identification and biological activity monitoring of each culvert outlet based on the real-time image, identify the type and quantity of debris in the real-time image of each culvert outlet based on the obtained real-time image of each culvert outlet, obtain the number of each type of debris at each culvert outlet, add up the number of each type of debris to obtain the total number of accumulated debris GTQ, identify the corresponding accumulation area of ​​each type of debris at each culvert outlet, obtain the accumulation area of ​​each type of debris, and add up the accumulation area of ​​each type of debris to obtain the total debris accumulation area GFK; If it is a circular outlet, connect the bottom center and the upper center of the circular outlet to get the height of the circular outlet, and use the formula to calculate the area of ​​the circular outlet; if the culvert outlet is an irregular shape, divide the culvert outlet into multiple triangles, get the number of triangles, identify the length and height of the triangle base, use the formula to get the area of ​​the triangle, and get the total area of ​​the culvert outlet based on the number and area of ​​the triangles; If the current outlet is a circular outlet, the debris accumulation ratio GSR is obtained according to the total debris accumulation area and the circular outlet area; Substitute the total amount of accumulated debris, the total area of ​​accumulated debris, and the proportion of accumulated debris into the formula The second blocking coefficient GHE of the culvert outlet is obtained, wherein M1, M2 and M3 are weight coefficients corresponding to the total number of accumulated debris, the total area of ​​accumulated debris and the proportion of accumulated debris, i represents the shape number of the culvert outlet, and m represents the total number of culvert outlet shapes; A4: Early warning mechanism triggering: handle the situation of each congestion level according to the set congestion cumulative points level; A5: Blockage points determination: The blockage accumulated points value is determined based on the blockage coefficient of each culvert outlet.

2. The anti-blocking monitoring and early warning method for culvert outlets according to claim 1 is characterized in that: Image detection and recognition also includes: Monitor various types of organisms at the culvert outlet, identify the number and volume of each type of organisms, obtain the number and volume of each type of organisms, and obtain the total volume of organisms based on the number and volume of each type of organisms. If the current outlet is a circular outlet, obtain the proportion of organisms based on the total volume of organisms and the area of ​​the circular outlet, and mark the total volume of organisms and the proportion of organisms as JRT and JYQ respectively; Substitute the total biological volume and biological proportion values ​​into the formula for calculation The third blockage coefficient JFE of the culvert outlet is obtained, where M4 and M5 are weight coefficients corresponding to the total biological volume and the biological proportion.

3. The anti-blocking monitoring and early warning method for culvert outlet according to claim 1 is characterized in that: According to the water level height and water flow velocity values, the blockage of the culvert outlet is analyzed. The specific process is as follows: The meteorological data within 48 hours is intelligently obtained through the cloud server. The meteorological data includes real-time rainfall intensity, rainfall duration and rainfall peak duration, which are marked as TDs, YRa and YWd respectively. After normalization, it is calculated according to the formula A first characteristic evaluation value TYk is obtained, wherein T1, T2 and T3 are weight coefficients corresponding to the real-time rainfall intensity, the rainfall holding period and the rainfall peak period; Extract the preset rainfall intensity threshold, preset rainfall holding period and preset rainfall peak period in the database, subtract the preset rainfall intensity threshold from the real-time rainfall intensity to obtain the rainfall intensity difference, subtract the preset rainfall holding period from the rainfall holding period to obtain the rainfall period difference, subtract the preset rainfall peak period from the rainfall peak period to obtain the rainfall peak difference, mark the rainfall intensity difference, rainfall period difference and rainfall peak difference as TDj, YRe and YWc respectively, normalize them and substitute them into the formula A second characteristic compensation value SUt is obtained, wherein T4, T5 and T6 are weight coefficients corresponding to the rainfall intensity difference, the rainfall period difference and the rainfall peak difference; According to the real-time acquisition of the water level height value and water flow velocity value of each culvert outlet, the standard water level height threshold and standard water flow velocity threshold of the data center are extracted, the water level height value and the standard water level height threshold are subtracted to obtain the real-time water level height difference, and the water flow velocity value and the standard water flow velocity threshold are subtracted to obtain the real-time water flow velocity difference. The real-time water level height difference and the real-time water flow velocity difference are marked as DGb and FHs respectively, and they are normalized and substituted into the formula A second characteristic evaluation value is obtained, wherein T7 and T8 are weight coefficients corresponding to the real-time water level height difference and the real-time water flow rate difference.

4. The anti-blocking monitoring and early warning method for culvert outlets according to claim 3 is characterized in that: Congestion flow analysis also includes: According to the obtained first characteristic evaluation value, second characteristic compensation value and second characteristic evaluation value, the formula is used to calculate The first blocking coefficient TEQ is obtained, wherein G1, G2 and G3 are preset proportional coefficients, g represents the serial number of the culvert outlet, and m1 represents the number of the culvert outlet.

5. The anti-blocking monitoring and early warning method for culvert outlet according to claim 1 is characterized in that: The current blockage cumulative point value is determined according to the blockage coefficient of each culvert outlet. The specific process is as follows: Extract the data center's preset first congestion coefficient threshold, preset second congestion coefficient threshold and preset third congestion coefficient threshold, subtract the first congestion coefficient threshold from the first congestion coefficient to obtain a first congestion difference, subtract the second congestion coefficient from the preset second congestion coefficient threshold to obtain a second congestion difference, then subtract the third congestion coefficient from the preset third congestion coefficient threshold to obtain a third congestion difference, and add the first congestion difference, the second congestion difference and the third congestion difference to obtain a congestion cumulative point value.

6. The method for monitoring and early warning of blocking prevention of culvert outlets according to claim 1 is characterized in that: According to the set congestion cumulative points level, different congestion levels are handled. The specific process is as follows: Different levels of congestion accumulation points are divided into mild congestion level, moderate congestion level and severe congestion level. The mild congestion level has a congestion accumulation point value range of 0-20, the moderate congestion level has a congestion accumulation point value range of 20-40, and the severe congestion level has a congestion accumulation point value range of above 40.

7. The anti-blocking monitoring and early warning method for culvert outlets according to claim 6 is characterized in that: The early warning mechanism triggers also include: An electric regulating valve is set up, and the accumulated blockage points are obtained according to the blockage integral judgment. The real-time accumulated blockage points are matched with each blockage level. If the corresponding culvert outlet matches the light blockage level, the corresponding culvert outlet is marked as a yellow warning outlet, and the location information of the corresponding yellow warning outlet is obtained. A slight signal is generated and sent to the screen terminal of the municipal drainage center. The signal includes the yellow warning outlet and the location information. After receiving the slight signal and obtaining the corresponding electric regulating valve according to the location information, an operation signal is generated and sent to the electric regulating valve. The electric regulating valve is turned on and the drainage flow rate is increased by 30%. It is set to review the changes in the accumulated blockage points of the outlet every two hours. If the corresponding culvert outlet matches a moderate blockage level, the corresponding culvert outlet will be marked as an orange warning outlet, and a moderate signal will be generated and sent to the screen terminal of the municipal drainage center. After receiving the moderate signal, the corresponding electric valve will be adjusted to increase the drainage flow rate by 60%, and the municipal rescue team within the radius of the corresponding culvert outlet will be obtained, and a signal will be sent to the municipal rescue team; if the corresponding culvert outlet matches a severe blockage level, the corresponding culvert outlet will be marked as a red warning outlet, and a severe signal will be generated and sent to the screen terminal of the municipal drainage center. After receiving the severe signal, the corresponding electric valve will be adjusted to increase the drainage flow rate by 100%, and all municipal rescue teams in the city will be adjusted to carry out rescue.

8. The method for monitoring and early warning of blocking prevention of culvert outlets according to claim 1 is characterized in that: According to the installation of various types of sensors at various locations of the culvert outlet, the blockage data of the culvert outlet is obtained. The specific process is as follows: Various types of sensors are installed at the water inlet, bends and places where the pipe diameter changes at the culvert outlet. The various types of sensors include integrated ultrasonic level meters, electromagnetic flow meters, pressure sensors and high-definition cameras. The ultrasonic level meter monitors and measures the water level height data in real time to obtain the water level height value of the culvert outlet. The electromagnetic flow meter monitors the water flow velocity data in real time to obtain the water flow velocity value of the culvert outlet in real time. The high-definition camera is assisted by infrared night vision function to capture real-time images of the culvert outlet.

9. The method for monitoring and early warning of culvert outlet blockage prevention according to claim 8, characterized in that: Data collection also includes: The obtained water level height value, water flow velocity value, pressure fluctuation parameter value and real-time image of the culvert outlet are sent to the database for storage.

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